{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pickle\n",
    "import cdlib\n",
    "from cdlib.evaluation import adjusted_rand_index\n",
    "from cdlib import viz\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import copy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cupy is not installed, GPU functions will not work.\n"
     ]
    }
   ],
   "source": [
    "res = pickle.load(open('SBM_benchmark.pkl','rb'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "for i, G in enumerate(res['graphs']):\n",
    "    #print(i)\n",
    "    score = []\n",
    "    try:\n",
    "        n_times = len(res['geometric_modularity'][i]['community_id'])\n",
    "    except:\n",
    "        continue\n",
    "    for t in range(n_times):\n",
    "        t_labels = res['geometric_modularity'][i]['community_id'][t]\n",
    "        t_C = [[n for n in G.nodes if t_labels[n]==l] for l in range(max(t_labels)+1)]\n",
    "        t_comms = cdlib.NodeClustering(communities=t_C, graph=G, method_name=\"reference\")\n",
    "        t_score = adjusted_rand_index(res['ground_truth'][i], t_comms).score\n",
    "        score.append(t_score)\n",
    "        \n",
    "    best_time = np.argmax(score)\n",
    "    labels = res['geometric_modularity'][i]['community_id'][best_time]\n",
    "    C = [[n for n in G.nodes if labels[n]==l] for l in range(max(labels)+1)]\n",
    "    comms = cdlib.NodeClustering(communities=C, graph=G, method_name=\"reference\")\n",
    "    res['geometric_modularity'][i] = comms"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "score = []\n",
    "method = []\n",
    "pinpout = []\n",
    "k=3\n",
    "rks = (k - np.sqrt(k)) / (k + np.sqrt(k))\n",
    "for i in range(len(res['graphs'])):\n",
    "    for m in ['geometric_modularity','modularity','belief_propagation','spectral','GN']:\n",
    "        try:\n",
    "            score.append(adjusted_rand_index(res['ground_truth'][i], res[m][i]).score)\n",
    "            method.append(m)\n",
    "            pinpout.append(rks - res['p_out'][i]/res['p_in'][i])\n",
    "        except:\n",
    "            continue\n",
    "\n",
    "d = pd.DataFrame({\"score\": score, \"method\": method, \"pinpout\": pinpout})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Adjusted Rand score')"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lineplot(x=\"pinpout\", y=\"score\",\n",
    "             hue=\"method\",\n",
    "             data=d)\n",
    "\n",
    "plt.xlim([-0.1,0.3])\n",
    "plt.xlabel(r'Distance to KS, $r_{KS} - r$')\n",
    "plt.ylabel('Adjusted Rand score')\n",
    "#plt.savefig('SBM.svg')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# LFR benchmark"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "res = pickle.load(open('LFR_benchmark.pkl','rb'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "from scipy.signal import find_peaks\n",
    "def best_community(res,method):\n",
    "    best_times = []\n",
    "    for i,G in enumerate(res['graphs']):\n",
    "    \n",
    "        VI = -np.array(res[method][i]['variation_information'])\n",
    "        peaks = find_peaks(VI,prominence=(max(VI)-min(VI))*0.005)[0]\n",
    "\n",
    "        if peaks.size==0:\n",
    "            peaks = [14]\n",
    "            #res[method][i] = None\n",
    "            #continue\n",
    "            \n",
    "        #peaks = range(25)\n",
    "        score = []\n",
    "        for t in peaks:\n",
    "            t_labels = res[method][i]['community_id'][t]\n",
    "            t_C = [[n for n in G.nodes if t_labels[n]==l] for l in range(max(t_labels)+1)]\n",
    "            t_comms = cdlib.NodeClustering(communities=t_C, graph=G, method_name=\"reference\")\n",
    "            t_score = adjusted_rand_index(res['ground_truth'][i], t_comms).score\n",
    "            score.append(t_score)\n",
    "        \n",
    "        best_time = peaks[np.argmax(score)]\n",
    "        labels = res[method][i]['community_id'][best_time]\n",
    "        C = [[n for n in G.nodes if labels[n]==l] for l in range(max(labels)+1)]\n",
    "        res[method][i] = cdlib.NodeClustering(communities=C, graph=G, method_name=\"reference\")\n",
    "        best_times.append(best_time)\n",
    "        \n",
    "    return res#, best_times"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "res = best_community(res,'geometric_modularity')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "score = []\n",
    "method = []\n",
    "mut = []\n",
    "for m in ['geometric_modularity','modularity','belief_propagation','infomap','ricciflow','spinglass']:\n",
    "    for i in range(len(res['graphs'])):\n",
    "        if res[m][i] is not None:\n",
    "            score.append(adjusted_rand_index(res['ground_truth'][i], res[m][i]).score)\n",
    "        else:\n",
    "            score.append(np.nan)\n",
    "        method.append(m)\n",
    "        mut.append(res['mut'][i])\n",
    "\n",
    "d = pd.DataFrame({\"score\": score, \"method\": method, \"mut\": mut})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lineplot(x=\"mut\", y=\"score\", hue=\"method\", data=d)\n",
    "\n",
    "plt.xlabel(r'\\mu_t$')\n",
    "plt.ylabel('Adjusted Rand score')\n",
    "plt.savefig('LFR.svg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
